E. Nagy
Impact in
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing
- Periodontics top 1%
- Oral microbiology and periodontitis research
Papers in
-
- Bacterial Identification and Susceptibility Testing 19
-
- Diphtheria, Corynebacterium, and Tetanus 7
- Co-authors
- Edit UrbánI. SzökeCarl Erik NordI SonkodiKatalin NagyH. N. NewmanUlrik Stenz JustesenMichael G. Rinaldi
- Journals
- Clinical Microbiology and Infection (8 papers)Journal of Medical Microbiology (5 papers)Oral Oncology (2 papers)Journal of Clinical Microbiology (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- HungaryUnited KingdomDenmark
In The Last Decade
E. Nagy
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Clinical Biochemistry 695
- Periodontics 268
- Applied Microbiology and Biotechnology 88
- Molecular Medicine 198
- Endocrinology 201
Countries citing papers authored by E. Nagy
This map shows the geographic impact of E. Nagy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Nagy more than expected).
Fields of papers citing papers by E. Nagy
This network shows the impact of papers produced by E. Nagy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Nagy. The network helps show where E. Nagy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2018 | 47 | |
| 3 | 2017 | 9 | |
| 4 | 2014 | 64 | |
| 5 | 2011 | 12 | |
| 6 | 2009 | 144 | |
| 7 | 2007 | 3 | |
| 8 | 2006 | 9 | |
| 9 | 2006 | 47 | |
| 10 | 2006 | 112 | |
| 11 | 2005 | 186 | |
| 12 | 2005 | 24 | |
| 13 | 2003 | 9 | |
| 14 | 2001 | 3 | |
| 15 | 1997 | 7 | |
| 16 | 1996 | 19 | |
| 17 | 1994 | 10 | |
| 18 | 1992 | 42 | |
| 19 | [Therapy of porphyria cutanea tarda using chloroquine]. | 1978 | 1 |
| 20 | Defective lysogeny in Bacillus anthracis Sterne strains. | 1972 | 4 |
About E. Nagy
E. Nagy is a scholar working on Clinical Biochemistry, Endocrinology, Molecular Medicine, Applied Microbiology and Biotechnology and Periodontics, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (19 papers), Streptococcal Infections and Treatments (12 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Diphtheria, Corynebacterium, and Tetanus (7 papers), Antibiotic Resistance in Bacteria (7 papers), Infective Endocarditis Diagnosis and Management (6 papers), Bacteriophages and microbial interactions (4 papers) and Oral microbiology and periodontitis research (3 papers). The work is most often cited by research in Clinical Biochemistry (695 citations), Periodontics (268 citations), Applied Microbiology and Biotechnology (88 citations), Molecular Medicine (198 citations) and Endocrinology (201 citations). E. Nagy has collaborated with scholars based in Hungary, United Kingdom and Denmark. Frequent co-authors include Edit Urbán, I. Szöke, Carl Erik Nord, I Sonkodi, Katalin Nagy, H. N. Newman, Ulrik Stenz Justesen, Michael G. Rinaldi, Alexander V. Veselov and Daniel J. Diekema. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Medical Microbiology, Oral Oncology, Journal of Clinical Microbiology and Clinical Infectious Diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.